• No results found

Greenhouse gas emissions from digestate in soil

N/A
N/A
Protected

Academic year: 2022

Share "Greenhouse gas emissions from digestate in soil"

Copied!
19
0
0

Laster.... (Se fulltekst nå)

Fulltekst

(1)

Biogas residues, digestates, contain valuable nutrients and are therefore suitable as agricultural fertilizers.

However, the application of fertilizers, including digestates, can enhance greenhouse gas (GHG) emissions. In this study different processes and post-treatments of digestates were analyzed with respect to triggered GHG emissions in soil.

In an incubation experiment, GHG emissions from two contrasting soils (chernozem and sandy soil) were compared after the application of digestate products sampled from the process chain of a food waste biogas plant: raw substrate, digestate (with and without bentonite addition), digestates after separation of liquid and solid phase and composted solid digestate. In addition, the solid digestate was sampled at another plant.

The plant, where the solid digestate originated from, and the soil type influenced nitrous oxide (N2O) emissions significantly over the 38-day experiment. Composting lowered N2O emissions after soil application, whereas bentonite addition did not have a significant effect. High peaks of N2O emissions were observed during the first days after application of acidified, liquid fraction of digestate. N2O emissions were strongly correlated to initial ammonium (NH4+) content.

Fertilization with dewatered digestate (both fractions) increased N2O emission, especially when applied to soils high in nutrients and organic matter.

Greenhouse gas, Nitrous oxide, Digestate, Food waste, Organic fertilizer

C Compost

CH4 Methane CO2 Carbon dioxide D Digestate

DB Digestate and Bentonite D-s Digestate - solid fraction D-l Digestate – liquid fraction

D-s-l Digestate – solid and liquid fraction GHG Green House Gas

HRA Hadelandog Ringerike Avfallsselskap AS – thermophilic process

NH4+ Ammonium N2O Nitrous Oxide NO3- Nitrate Ntot total Nitrogen PS Pore Space

RH Relative Humidity

RBA Romerike Biogas plant – mesophilic process S Substrate

SO Soil Only

THP Thermal Hydrolysis Process TK Tukey Kramer

WFPS Water Filled Pore Space

The atmospheric concentration of gases with an effect on the earth’s radiative forcing is increasing and climate is changing. The gases affecting radiative forcing are primarily carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O). CO2 produced from combustion of fossil fuel is considered as a net addition to GHG emissions, whereas CO2 emitted from agricultural soils is considered as neutral in the IPCC 2014 report (Smith et al. 2014) because it is part of the short-term cycles of carbon. The agricultural sector is also contributing a large part of anthropogenic non-

Maria Dietrich diemaria@posteo.ch

Norwegian Institute of Bioeconomy Research, NIBIO NO-1431 As, Norway

1

(2)

CO2 GHG, mainly N2O and CH4 emissions (USEPA 2012).

Methane is produced under anoxic conditions and the most important sources are ruminant digestion and flooded soils (Mapanda et al. 2011; Nusbaum 2010).

The largest source of N2O emissions in the agricultural sector are agricultural soils and several factors are known to contribute to N2O emissions, primarily available N, pH, organic matter content and soil moisture (Šimek and Cooper 2002; Maag and Vinther 1996; Ranucci et al. 2011). However, because N2O can be produced by a number of biological processes (Wang et al. 2017), emission rates are difficult to predict.

Biogas is produced by anaerobic digestion (AD) of organic matter in a reactor. The gas produced is a mixture of CO2 and CH4 and the CH4 can be used to replace fossil fuels (Horschig et al. 2016; Dahlin et al.

2015). The partly degraded organic material left after AD is called digestate. Degradation of organic material depends on feedstock and on retention time, pre-treatment and process types. Digestates are rich in plant available nutrients (Alburquerque et al. 2012b) and usually have a high pH. Many biogas plants mechanically separate digestate into a liquid and a solid fraction which can more easily be transported and stored. Often polymers are added to improve separation. The solid phase is known to contain mainly organic N and the liquid fraction holds usually the major part of ammonium. In some cases, also further treatments are used, such as acidification to reduce ammonia volatilization from liquid phase of digestate.

Because of the high concentration of plant available nitrogen (N), digestates are good fertilizers and can replace mineral fertilizers (Holm-Nielsen et al. 2009).

Hence, the substitution of synthetic fertilizer can save energy and money by reduced use of mineral fertilizer, while still adding N to the soil (Sigurnjak et al. 2017).

Digestates have characteristics that set them apart from both mineral fertilizers and most other organic fertilizers. Most of the organic carbon in the substrate is used up for producing CH4 and CO2 during the biogas process. Digestates are rich in mineral nitrogen, almost exclusively on ammonium (NH4+) form, prone to losses via NH3, and they also contain some residual organic matter with organic N (Alburquerque et al.

2012b). They usually have high pH and, at least untreated, high water content.

Various studies have already investigated the effect of application of digestate and digestate products on soil quality and fertility (Möller and Müller 2012), soil biological properties (Alburquerque et al. 2012b), soil

chemical properties (Losak et al. 2014), crop yield and other effects on crops (Nkoa 2014; Alburquerque et al.

2012a, b) and leaching losses (García-Albacete et al.

2014). However, the effects of digestate on GHG emissions from soil have not been much studied (but see Senbayram et al. 2014; Johansen et al. 2013). It is not straight forward to predict how the special properties of digestate and digestate products will affect emissions. Assumptions can be made regarding composition affecting emissions: High ammonium content and high pH mean a high risk of N losses due to ammonia volatilization during spreading and storage, how pH affects GHG emissions from soil is more uncertain. It is e.g. well recognized that high organic matter content enhances N2O emissions as the availability of carbon and N usually increases denitrification rates. On the other hand, increased denitrification rates do not necessarily lead to higher N2O emissions. N2O can be produced both during nitrification and denitrification, although denitrification is usually thought to be dominant.

Digestate was shown to increase nitrification-derived N2O emission (Senbayram et al. 2009). It is unclear how the high NH4+ and low NO3- combined with relatively high organic matter content as is found in digestate will affect emission. Methane emissions would be expected to be low when digestates are applied to aerobic soils, but as they contain methanogenic bacteria, they may still induce emissions.

Acidification of digestate makes it possible to reduce water content by evaporation with minimal ammonia losses. However, it is unclear how pH affects N2O emissions (Šimek and Cooper 2002;

Mørkved et al. 2010) and therefore, how acidification affects subsequent N2O emissions when digestate is added to soils (Raut et al. 2012).

Composting the solid fraction of digestate could give a high-quality soil conditioner containing less N than e.g. mineral fertilizer but more recalcitrant organic matter leading to humus formation.

Composting is an aerobic decomposition process where smell is reduced or eliminated and some NH4+ is transformed to NO3-. However, substantial amounts of N are usually lost as ammonia during composting, and some GHG emission will also occur (Jiang et al.

2013; Fillingham et al. 2017; Hellebrand and Kleinke 2000). It is not clear, however, if compost also increases GHG emission when applied to soil.

NH4+ in digestates is easily sorbed to clay particles, so soil properties determine availability for plants and leaching losses. Sorbents like clay particles can

(3)

improve N retention and optimize efficiency of use (Ma et al. 2011; Wang et al. 2014). They can also be used to concentrate nutrients in the solid phase of liquid waste streams, e.g. digestate. Bentonite is a clay whose properties are determined by smectite minerals and it is known to be a good sorbent for NH4+. It is not well known how sorbents affect GHG emissions. If N availability for microbes is decreased by sorption, it could reduce N2O emissions.

In this study GHG emissions from digestate and digestate products after application to soil were investigated. The digestates were incubated in two soils with contrasting properties and N2O, CH4 and CO2 emissions were measured. Effects of digestate processing and post-treatment on GHG emissions were determined. We hypothesized that i) separation might lead to lower N2O emissions in the solid phase and to higher emissions in the liquid phase, that ii) composting of the solid fraction of digestate will reduce N2O and CH4 emissions and that iii) the application of digestate with bentonite might reduce N2O emissions.

Based on an equal volume of 50 ml, 71.33 g of sandy soil (low carbon, nutrient and clay content) and 59.70 g of chernozem (high carbon, nutrient and clay content) were transferred to lab bottles (250 ml) each.

The soils were pre-incubated at 40 % water filled pore space (WFPS) in a climate chamber at 20°C for 4 days.

After pre-incubation, the treatments were added to the soils in the bottles according to Table 1.

The amount of digestates and compost used was chosen based on the total amount of nitrogen (Ntot).

The total nitrogen applied (8.20 mg Ntot per bottle) was calculated based on the amount of fertilizer-Ntot known to be applied in the county Akershus, Norway

(164 kg Ntot/ha) (Deelstra and Greipsland 2017). A depth of 10 cm (0.1 m³ /m²) soil was assumed to be influenced by the fertilizer application.

The added material was mixed with the soil to mimic the procedure of working in the fertilizer after application. The water content was adjusted to 60 % WFPS at the beginning of the incubation (Table 6 in Appendix), as this is reported to cause high N2O emissions from nitrification and denitrification (Del Prado et al. 2006; Van Lent et al. 2015; Senbayram et al. 2009). During the incubation, the temperature was set to 20°C at a high rel. humidity (RH) of 90 % to minimize evaporation.

Romerike biogas plant (RBA) and Hadeland og Ringerike Avfallsselskap AS (HRA) are two biogas plants to the north of Oslo, both only treating food waste mainly collected from households but also originating from food industry. The organic waste was grinded, sieved, screw pressed and heated up to 80°- 100°C before it was used as a substrate in the digestion process in the biogas plant.

The biogas plant in Romerike uses Thermal Hydrolysis Process (THP) as pre-treatment and a mesophilic process (38°C), whereas HRA is running a thermophilic process (52-53°C). At RBA, samples were taken at different stages of the process (Fig. 1):

before anaerobic digestion, after the digestion process, after the de-watering process (liquid and solid fraction) and from composted digestate. The compost was collected from a different site (ØRAS - Miljøstasjon) which received solid digestate from RBA for composting. Wood chips were added as structural material. Only the solid fraction after de-watering was collected from HRA. All the samples were stored at a temperature of 4°C and analyzed by Eurofins and NIBIO (Table 2).

Anaerobic digestion process including composting (*Sampled stages)

(4)

For gas measurements, bottles were closed for +/- 1 hour in the beginning and up to +/- 2 hours towards the end of the experiment to increase the concentration (time schedule in Table 9 in Appendix). Then, 12 ml of gas was extracted through a septum with a syringe.

This gas was injected into an evacuated vial and the samples were analyzed by gas chromatography mass spectrometry (GC-MS) to determine concentrations of N2O, CH4, and CO2. The analysis was performed using an Agilent Technologies 7820A GC System gas chromatograph, coupled to a mass detector Agilent Technologies 5875 Series MSD and a Gilson 222 XL auto sampler. The sample was injected by a 5 ml sample loop, through a 0.5 m x 0.32 mm deactivated precolumn, into a 25 m x 0.32 mm CP-PoraPLOT Q- HT column (Chrompack), kept at 40 °C. Helium was used as carrier gas at 1.0 ml min-1. Measurements were performed twice on the first day after starting the incubation, then every day at the beginning and at longer time intervals towards the end of the

experiment. The total number of sampling days was 24 during a time period of 38 days.

The pH of all used soil samples was measured after the incubation. A slurry of the wet soil (equivalent to 10 ml of dry soil) and 25 ml deionized (DI) water was shaken and left overnight. Samples were shaken again before measurement with a Thermomix electrode.

Furthermore, NO3-N and NH4-Ncontents of all the samples after incubation were determined by KCl-extraction method. 100 ml 1 M KCl was added to a weighed sample of soil (10 g organic soil / 40 g mineral soil) and stirred for 1 hour and then filtered before analyses. The NO3- was determined according the ISO 14256-2/NS-EN ISO 11732 and NH4+ according the NS-EN ISO 11732 part 3.

The different treatments are shown in Table 1. All of them were repeated on the two soil types with three replicates. Bottles with the same amount of inert sand (also 50 ml) were used as a standard.

Treatments of the 2 soils (19 combinations x 3 replicates = 57 bottles in total)

RBA HRA

Treatments Abbrev. Sand Chernozem Sandy soil Chernozem Sandy soil

Substrate + soil S x x

Digestate + soil D x x

Digestate + bentonite + soil DB x x

Solid fraction digestatea + soil D-s|D-s-

HRA x x x x

Liquid fraction digestatea + soil D-l x x

Liquida + solida fractions digestate + soil D-l-s x x

Composted digestatea + soil C x x

Soil only SO x x

Inert sand x

aAfter centrifugation

Substrate (S) – Grinded food waste, sieved and screw pressed (max. diameter 10 mm), heated up to 80° - 100°C for about 20 min; samples were taken before THP, liquid;

Digestate (D) - Taken directly from the digester, sieved through a 2-mm sieve, liquid;

Digestate with bentonite (DB) - Bentonite material mined in Pétervására (Hungary) applied in bentonite digestate ratio (volume) of 1:9 before mixing (Makadi and Nemeth-Borsanyi 2016) it into the soil. The montmorillonite content was ca. 50 % and the material was ground to a particle size range of 0.05‒1 mm and

dried in a cyclone at 70°C. Its chemical composition was determined by XRF (fluorescence x-ray spectrometry) from scanning electron microscopy (SEM) in weight % and it can be seen in (Table 7 in Appendix).

Solid fraction of digestate (D-s and D-s-HRA) - Solid organic material separated from the water by decanter centrifuge after adding a polymer for flocculation; sampled at both biogas plants (D-s: RBA and D-s-HRA: HRA).

Liquid fraction of digestate (D-l) – Concentrated liquid fraction of digestate after addition of polymer,

(5)

acidification and separation by centrifugation.

Liquid and solid fraction (D-l-s) - Based on dry matter content of the concentrated fraction of digestate after centrifugation (D-l), a concentration by factor 10 was assumed. The concentrated liquid was diluted with DI water to the initial water content of digestate and then mixed with the corresponding mass of the solid fraction.

Compost (C) - Solid fraction of digestate composted together with structure material, mostly wood chips. The age of the compost was ca. 8 months when it was sampled.

Soil only (SO) - Chernozem or sandy soil without treatment.

Characteristics of treatments: substrate (S), digestate (D), digestate and bentonite (DB), solid digestate (D-s), solid digestate from HRA (D-s-HRA), liquid digestate (D-l) and compost (C)

Treatment pH Conductivity TSt TOC Ntot NH4-N NO3-N C/N ratio

[mS/m] [%] [% TS] [mg Ntot/kg TS] [mg NH4-N/kg TS] [mg NO3-N/kg TS]

S 3.9 140 8.6 50.6 28000 404.7a 38.7 a 18.1

D 8.5 140 3.1 40.5 94000 34193.5 a 322.6 a 4.3

DB 3.1 40.5 94000 34193.5 a 322.6 a 4.3

D-s 8.80 100 28.3 43.5 63000 3044.0* 3.7* 6.9

D-s-HRA 8.90 190 23.4 37.8 37000 9388.0* 4.6* 10.2

D-l 5.30 830 9.9 35.1 68000 58131.3 a 101.0 a 5.2

C 7.8 120 61.3 16.2 17000 14.7 a 1065.0 a 9.5

aAnalyzed by NIBIO

A chernozem and a sandy soil, both originating from Hungary, were used for the experiments. These soils were chosen for the experiment because of their contrasting properties (Table 3). The properties were measured by Eurofins standard methods, except pore space (PS) and texture (wet sieving method) that was measured at Norwegian Institute of Bioeconomy Research (NIBIO).

Table 8 in the Appendix shows the grain size distribution (weight %) of chernozem and sandy soil.

The PS of the soils was measured based on the method of Blume et al. (2011) (Table 3). In addition to the measurement, the pore volume was calculated by assuming a real density of 2.65 g/cm³ (reference value of quartz) for the mineral particles and a lower value of 1.4 g/cm³ for the organic matter. The fraction of the organic material was interpreted to equal loss on ignition (PS: 50.0 % - chernozem and 41.5 % sandy soil). All samples were adjusted to 60 % WFPS at the beginning of the incubation considering the moisture of the treatments.

Major soil properties of the sandy soil and the chernozem

Soil properties Sandy soil Chernozem

Dry matter DM (%) 99.4 96.9

pH 7.0 6.4

Conductivity (mS/m) 2.5 5.4

Loss on ignition (% DM) 1.2 5.7

Sand (% DM) a 92.0 11.6

Silt (% DM) a 2.3 60.7

Clay content (% DM) a 5.7 27.7

Pore space (%) a 42.0 49.8

Total carbon (% DM) 0.22 1.9

Nitrogen (% DM) 0.04 0.21

Phosphorous (% DM) 0.023 0.071

Potassium (% DM) 0.067 0.31

Ammonium-N (% DM) 0.00076 0.00187

Nitrate-N (% DM) 0.00029 0.00317

Phosphorous (% DM) 0.0047 0.01

Potassium (% DM) 0.01 0.036

aAnalyzed by NIBIO

(6)

Emission rate N2O-N [µg N/h/kg soil]

Days after start of incubation [d]

The production rates for CH4-C, CO2-C and N2O-N per 14 days were calculated for each of the three replicates and then averaged. The trapeze approach was applied to calculate the gas produced between the time steps before cumulating the emissions. The GWP calculation was based on the IPCC 2013 factors (Myhre et al. 2013) for 20 years: 264 for N2O, 84 for CH4 and 1 for CO2.

SAS 9.4 TS Level 1M1 statistic software for Windows was applied to perform statistical analysis for cumulative emissions. A linear model was used for each response variable (CH4-C, CO2-C and N2O-N), which was assumed to be nearly normally distributed.

The assumptions of normality, homogeneous variance etc. were checked by an analysis of the residuals from the fitted model. The explanatory factors were soil (with two levels: Chernozem and Sandy soil), treatment (with nine levels: S, D, DB, D-s, D-s-HRA, D-l, D-l-s, C and SO), and their interaction. When there were significant (p ≤ 0.05) effects of a factor, Tukey's multiple comparison method was used to order the groups, interactions or main effects, as far as the data allowed. Before these final analyses, some outlier observations were deleted, based on a preliminary similar analysis, to avoid that a few observations totally dominate the results.

The same software was used to analyze data using a model for repeated measurements. This analysis was done separately for each soil and gas. The model contains treatment, hours from start, and their interaction as independent variables, treatment as a factor and hours from start as a covariate. The model considers that observations from the experimental unit may be correlated. The residuals indicate good approximation to the usual assumptions of normality, etc. 4 treatments were compared in this analysis: C, D- s, D and D-l. Because of large differences between replicates, it was not possible to carry out this analysis for all treatments.

A multiple linear regression was performed (Minitab v18). Measured values of NO3-, NH4+ and total organic carbon in the mixtures were used as predictors. Average values of cumulative gas emissions were used as response variables (one regression for each gas, CO2, N2O and CH4).

The application of liquid, acidified digestate resulted in peak N2O emission within the first 5 days for both soils (Fig. 2a). There was no or only little effect of bentonite addition on N2O emission rates (Fig. 2b), but a clear reduction after composting the solid digestate (Fig. 2c and d). The solid digestate from HRA (D-s-HRA) caused high emission rates during the first 20 days, whereas the same fraction from RBA (D-s) resulted in enhanced emissions on a much lower level (Fig. 2d).

Chernozem Sandy soil

-5.0 5.0 15.0 25.0 35.0 45.0 55.0

0 10 20 30 40 0 10 20 30 40

D-l D-l-s SO

a

(7)

Emission rate N2O-N [µg N/h/kg soil]

Comparison of N2O-N emission rates (means) from chernozem (left) and from sandy soil (right) after adding D-l or D-l- s (a), D or DB (b), S and C(c), and D-s and D-s-HRA (d) or no treatment (SO), respectively. Error bars indicate standard error (n=3)

-4.0 -2.0 0.0 2.0 4.0 6.0 8.0

0 10 20 30 40 0 10 20 30 40

D DB SO

-5.0 0.0 5.0 10.0 15.0 20.0

0 10 20 30 40 0 10 20 30 40

S SO C

-5.0 0.0 5.0 10.0 15.0 20.0

0 10 20 30 40 0 10 20 30 40

D-s D-s-HRA SO

Days after start of incubation [d]

d c

b

c

(8)

Hence, five treatments had high N2O emission rates that are cause for concern: sustained high emissions from the soils treated with D-s-HRA, high peaks of emissions from soils with D-l and D-l-s (peaking on 4th day) and initial emissions right after application of the liquid treatments D and DB to the chernozem.

N2O and CO2 emission rates were found to be higher from the chernozem than from the sandy soil in almost all treatments, throughout the 38-day time run (Fig. 2 and 3). However, the patterns of emission rates over time were similar for both soils in most treatments.

The enhancing effect of chernozem compared to sandy soil on N2O can be attributed to its differing characteristics and carbon and N contents. It contained 2.5 times more NH4+, 10 times more NO3- and 8.5 times more total organic carbon (TOC) than the sandy soil.

The differing texture and structure of the soils could have promoted N2O emissions in the chernozem by creating more microsites with partially anoxic conditions at 60 % WFPS than in the sandy soil. There were also substantial differences in texture between the two soils, especially a clay content of 27.7 % vs.

5.7 % (chernozem vs. sandy soil) (Table 3). NH4+ can be immobilized by microbes (bacteria and fungi) in the soil and it can be adsorbed to soil particles to a certain extent. Wang and Alva (2000) found clay soils to be more capable to sorb NH4+ than sandy soils.

Pivato and Raga (2006) stated that NH4+ was sorbed well to bentonite. Sorbed NH4+ is immobilized and therefore could mitigate N2O emissions. In our experiment, there was no evidence that the higher clay content in the chernozem had mitigating effects on N2O emissions due to their sorption capacity, but the effect may have been overshadowed by e.g. the high N content. The assumption is corroborated by no effect of the bentonite.

CH4 emissions were generally low and the effect of soil type on CH4 emission was less clear as the treatments showed no pattern over time.

The D-l and D-l-s treatments had the second and third highest cumulative N2O emissions during the first 14 days in both soils (Table 4). There was a statistically significant effect on N2O emissions in both soils treated with D-l compared to the D treatment (CH:

p=0.0141, Ss: p=.0.0007). This result confirmed our

hypothesis that separation and acidification leads to higher emissions in the liquid phase. However, cumulative N2O emissions from the D-s was not found to be significantly lower than for the unseparated D.

N2O emissions on day 1 after application of D-l and D-l-s were lower than for D or DB. This could have indicated some inhibition of nitrification in the D-l and the D-l-s due to initial low pH (5.3 for D-l) caused by acidification after separation. Optimal nitrification rates in slurries are reported to take place at pH values between 7.5 and 8.0 (Tchobanoglous et al.

2014). At pH values in the range of 5.8 to 6.0, ammonia oxidation rates are only 10 to 20 percent of the rate at pH 7.0 (USEPA 1993). The CO2 emissions within the first 3 days indicate a high microbial activity (Fig. 3 and Fig. 4) and the subsequent peaks (between first and 5th day) in N2O emissions could be interpreted as a result of increasing nitrification (Alburquerque et al. 2012b) and denitrification after O2 was depleted in the soil (Parkin 1987). D-l and D-l- s treatments contained largest amounts of NH4+ (7 and 5.7 mg, resp.) which was probably nitrified and denitrified to a large extent within the first 3-6 days.

These nitrification and denitrification processes lead to high N losses as N2O. High N2O emissions from liquid fraction after separation of the digestate were also observed in other studies (Aguilera et al. 2013).

Digestate addition resulted in an immediate but low N2O production (D: maximum of 5.3 µg N2O- N/h/kg soil after 0.5 days). In contrast, enhanced N2O production was observed later for the treatments containing a liquid fraction of digestate (D-l and D-l-s:

maximum of 41.5 and 31.5 µg N2O-N/h/kg soil, respectively, after 3 days). However, these initial emissions from D only occurred in the chernozem, whereas in the sandy soil there was low release or even an uptake of these gases. High total carbon content of the soil itself leads to high microbial biomass. This relation is also reflected in the initially increased CO2 production (Fig. 4). Soil content of NO3- and more easily available carbon in the chernozem could have increased N2O emissions compared to sandy soil, which is similar to reported results of Möller and Stinner (2009) and Sosulski et al.

(2017). Combined with the quick depletion of oxygen in the fine textured chernozem N2O emissions may have been enhanced in microsites of the chernozem whereas the structure of the sandy soil was still providing a mainly aerobic environment and low NO3- contents. In addition, D contained slightly more nitrate than e.g. only the liquid fraction (D-l) of it, which

(9)

could be denitrified immediately after application, enhancing N2O emissions (priming effect).

Two solid digestates of different origin (D-s vs. D-s- HRA) were compared. The sustained high N2O emissions from the solid fraction of HRA (D-s-HRA) caused the highest emission over time in the chernozem, the second highest in the sandy soil and substantially higher emissions than the solid fraction from RBA (D-s) in both soils (Table 4). NH4-N and total organic carbon values as well as the texture of the two solid products diverged greatly. This emphasizes the impact of different anaerobic processes and pre- treatments (e.g. mesophilic vs. thermophilic process) and separation processes on GHG emissions.

The amounts of NH4-N, NO3-N and TOC added by each treatment were rather different (Table 6 in Appendix). D-s-HRA had high inputs of NH4-N and TOC. The nitrogen of D-s was organically bound to a larger extent and contained only 19 % of the NH4+ added by D-s-HRA treatment. O2 concentration might have been low due to high WFPS and also additional biological O2 depletion by microbial respiration, both enhancing denitrification. The large reservoir of organic carbon and NH4+ combined with low O2 concentrations could have resulted in the long lasting, and especially in the chernozem, high emission rates of N2O. This in turn lead to the highest cumulative N2O emissions (14 days) of all treatments in both soils.

D-s application resulted in long lasting N2O emissions, too, but the cumulated N2O values were only 21 % (sandy soil) and 19 % (chernozem) of the D-s-HRA emissions.

These results are in line with findings of Garcia- Ruiz and Baggs (2007) who stated that adding organic matter to the soil makes carbon available as substrate for denitrification and enhances N2O emissions at low O2 concentrations due to high WFPS.

Parkin (1987) found that hot-spots of high specific denitrification activity were associated with particulate organic carbon material in the soil. A more compact structure in D-s-HRA than in D-s may mean that organic carbon was exposed for longer periods, releasing more N2O than the more porous D-s.

Therefore, it is evident that treatment and soil characteristics like structure and available organic

carbon content are important influencing factors not only at the time of application but also up to 2 weeks after application.

Overall, the thermophilic vs. the mesophilic temperature also affects organic matter composition and degradability.

Furthermore, microorganisms from the mesophilic process at HRA might e.g. have been better adapted to temperatures during the experiment than the thermophilic process in RBA. This might have induced a quicker depletion of O2.

Composted digestate gave only low N2O emissions in the chernozem and even an N2O uptake was observed in the sandy soil. D-s showed significantly higher CH4

emissions than C in the sandy soil (p<0.0001). This indicates that the carbon in the compost was already stabilized and lower NH4-N contents than in D-s (0.01 mg vs. 0.40 mg), which did not lead to enhanced N2O emission anymore. Nevertheless, composting might not be the best GHG mitigation option for solid digestate, as during composting itself GHGs are released (Ermolaev et al. 2015; Boldrin et al. 2009;

Amlinger and Peyr 2008; Lim et al. 2016). GHGs are not only produced by the microbial degradation process itself but also the energy and machinery used causes emissions. Further research is needed to get data on GHG emissions from compost processing and further usage to provide a basis for comparison of different digestates and composted digestate.

CO2 emissions from treatments with substrate were much higher than all the others and higher in the chernozem soil than in the sandy soil (up to 15927 and 6199 µg CO2-C/h/kg, resp.) (Data not shown). This is because the material is not already degraded like digested material and therefore it contains much more available carbon causing high CO2 emissions. The treatments containing liquid digestate (D-l and D-l-s) showed higher emission rates than all others, except substrate. In comparison, C was always very close to the samples from SO and only showing low emission rates (Fig. 3). C had significantly lower CO2 emissions than D-s (p<0.0001 for both soils).

(10)

Comparison of CO2-C emission rates from chernozem after adding D-l, D-l-s, C or soil only (SO). Error bars indicate standard error (n=3)

Fig. 4 Shows the relation between CO2-C and N2O-N emission rates. The high CO2-C release of D-l corresponds to a substantial N2O-N release during the first days. On the contrary, the emissions of the two

gases are not correlated for the D treatment. The SO samples exhibited enhanced CO2-emissions on a lower level during the first days without producing N2O.

Comparison of CO2-C and N2O-N emission rates from chernozem after adding D, D-l or SO. Error bars indicate standard error of means (n=3). Left y-axis corresponds to CO2-C and right y-axis to N2O-N emissions

-500 0 500 1000 1500 2000

0 10 20 30 40

Emission rate CO2-C [µg C/h/kg soil] Chernozem

0 10 20 30 40

Sandy soil

D-l-s D-l SO C

0 200 400 600 800 1000 1200 1400 1600 1800 2000

0 5 10 15 20 25 30 35 40

-10 0 10 20 30 40 50 60

Emission rates N2O-N [µg N/h/kg]

Days after start of incubation [d]

Emission rates CO2-C [µg C/h/kg]

D_N2O D-l_N2O SO_N2O D_CO2 D-l_CO2 SO_CO2 Days after start of incubation [d]

(11)

Days after start of incubation [d]

There was no or little correlation between CO2 and N2O production rates directly visible in this experiment. Anaerobic denitrification is known to be high when respiratory consumption of O2 exceeds the rate of replenishment within the soil (Smith et al.

2018). The release of large amounts of CO2 from D, DB and SO was not necessarily accompanied by high N2O emissions at the time (Fig. 4). This means that high CO2 and microbial activity does not necessarily induce high N2O emissions.

The CH4 emissions were low for all treatments and, especially in the beginning, negative. To compare effects of different processes (thermophilic vs.

mesophilic) and to see a probable influence of methanogens originating from those digestates, CH4 emissions of D-s, D-s-HRA and SO are shown in Fig. 5. The treatments containing D-s showed, particularly in the sandy soil, enhanced CH4 emission compared to D-s-HRA during a long-time period.

Comparison of CH4-C emission rates from chernozem (left) and sandy soil (right) after adding D-s and D-s-HRA or nothing (SO). Error bars indicate standard error (n=3)

Aerobic soils are usually sinks for CH4 and only acting as a source when anaerobic conditions prevail (Topp and Pattey 1997; Ridgwell et al. 1999; IPCC 2007). CH4 emissions varied on a low level and uptake and release were alternating for most of the treatments during the whole incubation (data not shown). This suggests that the anaerobic microbes that are added with the digestates stay alive for a considerable time and can start producing CH4 whenever they find appropriate conditions. It was also observed that the D-s containing mesophilic bacteria from the RBA plant produced more CH4 in the sandy soil than the D- s-HRA containing thermophilic bacteria from HRA.

This indicates that the temperature the microbial community in the digestate is adapted to is important for emissions after application in the field.

The cumulative GHG production was calculated for a time period of 14 days (corresponding to 333 h), the assumed period with minimal plant effects in the field, and for the whole experiment period of 38 days (corresponding to 909 h). The main results of the statistical model are given in Table 4 (measured data in Table 10 in Appendix). The influence of the different soil types on GHG production over 14 days was highly significant for all gases measured (CH4 (p=0.0003), CO2 and N2O (p<0.0001 each). This was also the case for the treatments (p<0.0001 for all 3 gases) and the interaction of soil and treatment (p<0.0001 for all 3 gases).

Again, the differences between treatments with and without bentonite were not significant (Table 4).

-4 -3 -2 -1 0 1 2 3 4

0 10 20 30 40

Emission rate CH4-C [µg C/h/kg soil] Chernozem

0 10 20 30 40

Sandy soil

D-s D-s-HRA SO

(12)

Estimates of N2O-N, CH4-C, and CO2-C emissions cumulated over the first 14 days (top) and the whole experimental peiod of 38 days (bottom) for both soil types (CH=chernozem and Ss=sandy soil) and all treatments: S=substrate, D=digestate, DB=digestate & bentonite, D-s=digestate-solid, D-s-l=digestate solid and liquid fraction, D-s-HRA= digestate solid from HRA, C=compost, SO=soil only). SE means Standard Error of the estimate of the Least Squares Means. Tukey Kramer Grouping (TK - same letter means not significantly different); outliers excluded

14 days

Soil Treatment cum. N2O-N SE TK cum. CH4-C SE TK cum. CO2-C SE TK

[µg N/kg soil] [µg N/kg soil] (α<0.05) [µg C/kg soil] [µg C/kg soil] (α<0.05) [mg C/kg soil] [mg C/kg soil] (α<0.05)

CH S 447.1 70.6 d,e,f 46.5 19.6 b,c,d 1555 16 a

D 433.3 70.6 d,e,f 1.6 19.6 c,d 313 9 d

DB 338.4 70.6 e,f,g 51.5 19.6 b,c,d 350 9 c,d

D-s 580.6 70.6 d,e 50.1 24.0 b,c,d 379 9 c

D-s-HRA 3146.8 122.3 a 149.8 19.6 a,b 317 9 d

D-l 2398.4 122.3 b 18.2 19.6 c,d 357 9 c,d

D-l-s - - - 74.7 19.6 b,c 395 9 c

C 58.0 70.6 f,g,h -17.2 19.6 c,d,e 2 9 e

SO -16.4 70.6 g,h 7.3 19.6 c,d 219 9 e

Ss S -26.6 70.6 g,h 8.8 19.6 c,d 771 9 b

D 201.2 70.6 f,g,h -29.5 19.6 c,d,e 181 9 e,f

DB 203.0 70.6 f,g,h -46.2 19.6 d,e 179 9 e,f

D-s - - - 230.4 19.6 a 189 9 e,f

D-s-HRA 979.1 70.6 c 49.0 19.6 b,c,d 157 9 f

D-l 726.7 70.6 c,d -4.6 19.6 c,d 211 9 e

D-l-s 722.1 70.6 c,d 41.6 33.9 b,c,d 194 9 e,f

C -73.1 70.6 h -109.5 19.6 e 78 9 g

SO -132.5 70.6 h -112.2 19.6 e 72 9 g

38 days

Soil Treatment cum. N2O-N SE TK cum. CH4-C SE TK cum. CO2-C SE TK

[µg N/kg soil] [µg N/kg soil] (α<0.05) [µg C/kg soil] [µg N/kg soil] (α<0.05) [mg C/kg soil] [mg N/kg soil] (α<0.05)

CH S 1040.8 94.4 c,d,e 33.5 32.0 b,c 1949 22 a

D 538.1 94.4 e,f,g 44.7 32.0 b,c 550 22 c

DB 405.2 94.4 f,g,h 93.0 32.0 b,c 574 22 c

D-s 720.8 94.4 d,e,f 104.5 32.0 b,c 598 22 c

D-s-HRA 4470.8 115.6 a 151.8 32.0 a,b 529 22 c

D-l 2593.8 163.5 b 5.5 32.0 b,c 535 22 c

D-l-s - - - 66.1 32.0 b,c 590 22 c

C 60.9 94.4 g,h -11.3 32.0 b,c 361 22 d

SO -43.0 94.4 h 2.7 32.0 b,c 368 22 d

Ss S 304.2 94.4 f,g,h -34.4 32.0 c 1071 22 b

D 201.7 94.4 g,h -46.4 32.0 c 299 22 d

DB 245.0 94.4 f,g,h -32.2 32.0 c 304 22 d

D-s 326.1 94.4 f,g,h 282.3 32.0 a 298 22 d

D-s-HRA 1219.9 94.4 c,d 148.7 32.0 a,b 255 22 d,e

D-l 1277.3 94.4 c - - - 293 22 d

D-l-s 1127.4 115.6 c,d - - - 317 22 d

C -70.3 94.4 h -2.8 32.0 b,c 147 22 e,f

SO -81.1 94.4 h -63.2 39.2 c 117 22 f

(13)

Both soils had cumulative N2O uptake in SO for 14 days and the whole experimental period (Table 4). An N2O uptake was also observed for S and C applications for the first 14 days in sandy soil, whereas in the chernozem they lead to emissions. D-s-HRA resulted in higher N2O emissions than the D-s from RBA. The difference was higher in the chernozem than in the sandy soil. The reduction of N2O emissions due to composting (D-s vs. C) was significant in chernozem and visible in the sandy soil. The differences in N2O emissions from D and DB was not significant and the composted digestate C did not show significantly different N2O emissions from SO in both soils. The low and stabilized organic carbon and NH4-N content could be a reason for this. The D-s treatment resulted in significantly lower CH4 emissions than the D-s-HRA in the sandy soil,

whereas in the chernozem the difference was not significant. S had the highest CO2 emissions over 14 days in both soils. This was expected as the easily degradable carbon was still available in the undigested substrate, whereas in digested materials it has been used up e.g. for methane production. CO2 emissions from D, D-l and D-l-s were significantly higher than from C or SO in both soils. TOC contents had a significant influence on CO2 emissions over 38 days but cannot be seen as a predictor for CH4 emissions.

The global warming potential (GWP) of N2O and CH4 emitted during the first 14 days are shown in Fig.

6. Especially cumulated emissions and their GWP showed that N2O emissions of digestates applied to soil posed an environmental problem, whereas CH4 emissions had a low impact in this experiment as expected.

GWP of mean cumulated CH4 and NO2 emissions from the chernozem (left) and the sandy soil (right) during the first 333 h of the experiment

The D-l caused the biggest decrease in pH (-2.1 in sandy soil and -1 in chernozem soil) during the entire incubation period of 38 days. This is not surprising as chernozem most probably had a higher buffering capacity. D with the highest pH (8.5) also resulted in a decreased pH in sandy soil after the incubation period (-0.3) (Table 5). This could be a result of acidification by nitrification, when H+ is released during the transformation of NH4+ to NO3-. After the 38 days, a mineral N loss was observed for D-s-HRA, D-l and D-l-s in both soils, for C and SO only in sandy soil (Table 11 in Appendix).

The majority of the treatments had pH values in the alkaline range, but S and D-l and D-l-s were acidic, (pH=3.9 and 5.3, resp.). Šimek and Cooper (2002) reported in their research review that in pH below 7, the total N gas emission would be decreased. In contrast to this, in our study the acidic D-l and D-l-s treatment showed a peak in N2O emission rates during the first 4 to 5 days, whereas emissions from e.g. D (pH=8.5) were lower. The enhanced emissions from D-l and D-l-s could indicate that N2O was the main product of denitrification at low pH as reported by Morkved et al (2010).

-0.2 0 0.2 0.4 0.6 0.8 1 1.2 1.4

GWP [g CO2 equivalent/kg soil/14 days]

Treatments Chernozem Sandy soil

CH4 N2O

(14)

pH of soils and the treatment materials before addition to the soil, and all samples at the end of the incubation pH

Soils Before incubation

Chernozem 6.2

Sandy soil 6.8

After incubation

Treatments Chernozem Sandy soil

Substrate S 3.9 6.6 7.1

Digestate D 8.5 5.9 6.7

Digestate & bentonite DB 8.5 | 7-7.5 5.9 6.7

Digestate solid D-s 8.8 6.1 7

Digestate solid HRA D-s-HRA 8.9 6.2 7.2

Digestate liquid D-l 5.3 5.2 4.7

Digestate liquid & solid D-l-s 5.3 | 8.8 5.2 5

Compost C 7.8 6.1 6.7

Soil only SO 6.1 6.8

The multiple regression showed that N2O emissions are significantly increasing with higher NH4 contents in the mixture of soil and treatment over 14 and 38 days. Cumulated N2O-N emissions (14 days) and amount of NH4-N application were positively correlated in material from the RBA plant (sandy soil:

R² = 0.90; chernozem: R² = 0.78) (Fig. 7). This result is supported by findings of Möller and Stinner (2009),

suggesting that a higher supply of readily available NH4–N was the main driving force for N2O emission.

N2O emissions from sandy soil were, especially at high NH4-N contents, lower than from chernozem.

Material from the HRA plant was different, D-s-HRA contained only slightly over 2 mg NH4-N but resulted in comparatively high N2O-N emissions.

Correlation between cumulative N2O-N emissions over 14 days and added mass of NH4-N in treatments originating from RBA (circle) and HRA (triangle) in chernozem (filled) and the sandy soil (empty)

(15)

Finding GHG mitigation options for digestate application to soil should focus on N2O emissions while CH4 emissions were found to be negligible. The fact that we observed some CH4 emissions suggests that microbes from the digestate survived for a long time in aerobic soil. High N2O emission rates were detected for 5 treatments: Sustained high emissions from soil treated with the compact solid fraction from HRA (D-s-HRA), peak emissions from treatments containing liquid fraction of digestate (D-l and D-l-s) and initial emissions right after application of unseparated digestate (D and DB) to chernozem (ranking in decreasing importance).

The high N2O emissions of D-s-HRA emphasizes the influence of different AD and separation processes of the two different plants. The separation process, including concentration and acidification of digestate, are not only energy intensive, but also trigger additional GHG emissions. The benefit of acidification reducing NH3 emissions during storage of liquid digestate should be compared to additional emissions from the soil. The bentonite addition did not result in a significant difference in N2O emissions, possibly it was added to the digestate right before soil application.

Composted digestate had no or insignificant emissions when applied to soil, but potential emissions during composting were not addressed in this study.

NH4-N content was found to be an important factor of emission potential as well as the type of anaerobic digestion process. The emission peaks occurred at the same time and had similar shapes in the 2 soils, but the peaks in the sandy soil were much smaller than in the

chernozem. The sandy soil was found to emit less GHGs and therefore, to be better suited for the digestate treatments than the chernozem regarding only N2O and CH4 emissions. For a complete and comprehensive picture, one would have to, for example, include also NH3 emissions, nitrogen use efficiency, etc.

Further research should focus on understanding the processes that trigger N2O emissions after application of digestate, including emissions of N2 and NO. In addition, focus on application strategies and other measures to maximize quick plant uptake of N in digestate could be ways to reduce emissions of GHG emissions and optimize plant utilization of nutrients in digestate.

The help from Jan Erik Jacobsen in the laboratory work and Torfinn Torp in statistical analyses is greatly acknowledged. All reviewers are thanked for their detailed and constructive feedback. We would like to thank movetia Swiss-European Mobility Programme, EEA Norway grant No HU09-0096-A2-2016 and Interreg Øresund-Kattegat- Skagerrak through the Biogas2020 project for funding.

The authors declare that there are no conflicts of interest associated with this study.

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Mass of added treatments, bentonite and DI water (mt, mbentonite and mw resp.) and added mass of total org. carbon (TOC), total nitrogen-Kjeldahl mod. (Ntot), NH4-N and NO3-N per bottle

Treatment mt mbentonite mw TOC added Ntot added NH4-N added NO3-N added

[g] [g] [g] [mg] [mg] [mg] [mg]

S 3.41 11.82 148.19 8.20 0.12 0.01

D 2.81 12.21 35.33 8.20 2.98 0.03

DB 2.81 0.31 12.21 35.33 8.20 2.98 0.03

D-s 0.46 14.60 56.62 8.20 0.40 0.00

D-s-HRA 0.95 14.21 83.77 8.20 2.08 0.00

D-l 1.22 13.84 42.33 8.20 7.01 0.01

D-l-s 1.08 14.20 44.99 8.20 5.77 0.01

C 0.79 14.63 78.14 8.20 0.01 0.51

(16)

Characteristics of crude bentonite added to digestate

Particle size 0 - 300 mm

Water content 25 - 32 %

Specific gravity 2.5 - 2.6 t/m³

Loose bulk density 1.2 - 1.3 t/m³

Solid volume weight 1.6 - 1.65 t/m³

pH 7 - 7.5

Mohs hardness 1

Ion exchange capacity

Ca 0.25 - 0.6 meq/g

Na 0.04 - 0.06 meq/g

K 0.01 - 0.02 meq/g

Grain size distribution (weight %) of chernozem and sandy soil. Standard error (n=3) in brackets

Grain size Chernozem Sandy soil

[mm] [%] [%]

0.6-2.0 0.1 (0.03) 0.0 (0.01)

0.2-0.6 0.7 (0.02) 18.4 (0.27)

0.1-0.2 5.3 (0.09) 62.6 (0.21)

0.06-0.1 5.6 (0.08) 11.1 (0.42)

0.02-0.06 33.3 (0.57) 1.1 (0.12)

0.006-0.02 20.2 (0.59) 0.7 (0.22)

0.002-0.006 7.1 (0.1) 0.4 (0.13)

<0.002 27.6 (0.07) 5.7 (0.17)

Time schedule of the 24 measurements and additional treatments Measurement

Hours after incubation

[h] Date Additional treatment

1 11 5.4.

2 21 5.4.

3 45 6.4.

4 69 7.4.

5 93 8.4.

6 117 9.4.

7 141 10.4.

8 165 11.4.

9 189 12.4.

10 213 13.4.

11 237 14.4.

12 261 15.4.

13 285 16.4.

14 309 17.4.

15 333 18.4.

16 357 19.4.

17 380.5 20.4.

18 405 21.4.

19 429 22.4.

20 476.7 24.4.

21 525 26.4. +2ml DI water

22 597 29.4.

23 693 3.5.

5.5. Filling up to 60 % WFPS

24 909 12.5. End of incubation

Referanser

RELATERTE DOKUMENTER

To support this process, four farm-scale models were benchmarked with respect to estimates of greenhouse gas (GHG) emissions from six dairy cattle scenarios; two climates (cool/dry

The arrow from anaerobic digestion to agricultural soil, indicates a credible pathway for digestate enriched with N 2 O-reducing bacteria (assuming enrichment after AD);

The goal of this thesis was to analyze the potential indirect environmental impacts, mainly greenhouse gas (GHG) emissions associated with concepts claimed

011 production is profitable in the certain case, but not in the uncertain one. However, had it not been for the very existence of gas, the uncertain case would also give

In this paper we have studied the impacts on Western European energy demand and CO 2 emissions of a reduction in Norwegian gas sales by 10 or 20 bcm/year from 2000. The effects on

With the present composition of incinerated waste (50% fossil on energy basis), specific greenhouse gas emissions from waste incineration based district heating are comparable

determine the fraction that could be potentially considered an offset to GHG emissions. While uncertainties remain, our proposal emphasizes the need to quantify the GHG footprint

The report describes the calculation methodologies; including operational energy performance, embodied greenhouse gas emissions (including the emissions from transport of